Senior GenAI/ML Solutions Architect

Amazon Web Services (AWS)

Greater London

In loco

GBP 120.000 - 180.000

Tempo pieno

14 giorni+

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Descrizione del lavoro

AWS EMEA SARL (UK Branch) seeks a Senior GenAI/ML Specialist Solutions Architect to drive GenAI/ML adoption for large enterprise customers in the UK. You will design architectures, advise C-suite stakeholders, and lead PoCs and workshops to accelerate AI transformation.

Candidates bring hands-on ML experience, strong communication skills, and domain expertise in NLP, vision, or recommender systems. Knowledge of AWS AI/ML services like SageMaker and Bedrock is highly valued.

Competenze

  • Bachelor's degree or equivalent in CS/engineering/math.
  • Experience in IT development or consulting in software/Internet industries.
  • Experience in design, implementation, or consulting in applications and infrastructures.
  • Ability to communicate across technical and non-technical audiences, including executives.

Mansioni

  • Provide deep technical expertise in Generative AI and ML, designing innovative AWS-based solutions.
  • Act as trusted advisor to executives and leaders, translating technical concepts into business value.
  • Lead architectural reviews, workshops, and proofs-of-concept to advance technical objectives.
  • Share best practices through AWS blogs, whitepapers, architectures, and community education.
  • Gather customer insights to inform AWS product teams on market needs.
  • Represent AWS at industry events and conferences like AWS Summit and re:Invent.

Conoscenze

GenAI/ML expertise
Solutions architecture
Stakeholder communication
ML pipelines
Public speaking

Formazione

Bachelor's degree in computer science, engineering, mathematics or equivalent

Strumenti

PyTorch
TensorFlow
Hugging Face
scikit-learn
Amazon SageMaker
Amazon Bedrock
Amazon Rekognition

Descrizione del lavoro

AWS EMEA SARL (UK Branch) seeks a Senior GenAI/ML Specialist Solutions Architect to drive GenAI/ML adoption for large enterprise customers in the UK. You will design architectures, advise C-suite stakeholders, and lead PoCs and workshops to accelerate AI transformation.

Candidates bring hands-on ML experience, strong communication skills, and domain expertise in NLP, vision, or recommender systems. Knowledge of AWS AI/ML services like SageMaker and Bedrock is highly valued.

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